AGROBIOLOGIA
Volume 9, Numéro 1, Pages 1458-1471
2019-06-30
Detection Of Soil Salinity As A Consequence Of Land Cover Changes At El Ghrous (se Algeria) Irrigated Area Using Satellite Images
Authors : Abdennour Mohamed Amine .
Abstract
Description of the subject: Remote sensing is an important tool for studying soil characteristics, such as salinity and for monitoring changes in land cover and land use. Objective: This study aims to examine the applicability of Landsat imagery data for soil salinity prediction in El Ghrous palm groves and for the detection of land-use changes that occurred between 2009 and 2017. Methods: Two methods were assessed for the detection of salty soils, the first one; use of spectral indices, which are derived from the Landsat 8OLI satellite image and second one, is application of a non-parametric supervised classification for the detection of changes in land. Results: Combinations between image data and field measurements show that there is not significant correlation.Landsat imagery has shown that the study area has different soil cover units. The superposition map produced indicated major changes in the class of vegetable crops under cover (plasticulture), and a decrease in the surface of salty grounds 9% to 5% during this period. Conclusion: The results of this study explain the expansion in land use mainly for the plasticulture sector and show the advantage of agricultural land development project.
Keywords
Change detection, Classification supervisée, Détection de changement, image satellite, Indice de salinité, Land use, Salinity index, Satellite image, Supervised classification, Utilisation des terres
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